Next-Paradigm Programming Languages: What Will They Look Like and What Changes Will They Bring?
May 01, 2019 Β· Declared Dead Β· π SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Yannis Smaragdakis
arXiv ID
1905.00402
Category
cs.PL: Programming Languages
Cross-listed
cs.SE
Citations
5
Venue
SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software
Last Checked
3 months ago
Abstract
The dream of programming language design is to bring about orders-of-magnitude productivity improvements in software development tasks. Designers can endlessly debate on how this dream can be realized and on how close we are to its realization. Instead, I would like to focus on a question with an answer that can be, surprisingly, clearer: what will be the common principles behind next-paradigm, high-productivity programming languages, and how will they change everyday program development? Based on my decade-plus experience of heavy-duty development in declarative languages, I speculate that certain tenets of high-productivity languages are inevitable. These include, for instance, enormous variations in performance (including automatic transformations that change the asymptotic complexity of algorithms); a radical change in a programmer's workflow, elevating testing from a near-menial task to an act of deep understanding; a change in the need for formal proofs; and more.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Programming Languages
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
R.I.P.
π»
Ghosted
Glow: Graph Lowering Compiler Techniques for Neural Networks
R.I.P.
π»
Ghosted
Learnable Programming: Blocks and Beyond
R.I.P.
π»
Ghosted
Scenic: A Language for Scenario Specification and Scene Generation
R.I.P.
π»
Ghosted
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted